This document outlines how the proven library's formally verified modules can be integrated into poly-observability-mcp.
| Module | Use Case | Formal Guarantee |
|---|---|---|
SafeMetric |
Prometheus metric validation | Well-formed metrics with valid labels |
SafeBuffer |
Log buffering (Loki) | No overflow, backpressure handling |
SafeProvenance |
Trace lineage (Jaeger/Tempo) | Hash-chained trace integrity |
| Module | Use Case | Formal Guarantee |
|---|---|---|
SafeSchema |
Dashboard JSON validation | Type-safe dashboard definitions |
SafeStateMachine |
Alert state transitions | Valid alert lifecycle |
SafeQuery |
PromQL/LogQL validation | Well-formed query ASTs |
prometheus_query → SafeMetric.validateResult → typed MetricResult
prometheus_range_query → SafeMetric.validateSeries → typed TimeSeries[]
The SafeMetric module ensures metric names follow Prometheus naming conventions and labels are properly escaped.
loki_query → SafeBuffer.RingBuffer → bounded result set
loki_tail → SafeBuffer.StreamBuffer → backpressure control
Ring buffers prevent memory exhaustion when tailing high-volume log streams.
tempo_trace_get → SafeProvenance.ChainIntegrity → verified trace spans
jaeger_trace → SafeProvenance.Lineage → parent-child span validation
Hash-chained trace verification ensures distributed traces haven't been tampered with.
The proven library provides Idris 2 proofs that transfer to the runtime implementation. For JavaScript/Deno targets, compile via:
idris2 --codegen javascript SafeMetric.idr -o SafeMetric.js- Add SafeMetric bindings for Prometheus tools
- Integrate SafeBuffer for Loki log streaming
- Add SafeProvenance for trace integrity checks
- Update tests with property-based testing against proven specs